Overview

Dataset statistics

Number of variables14
Number of observations250
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.5 KiB
Average record size in memory112.5 B

Variable types

Numeric14

Alerts

bu is highly overall correlated with sc and 1 other fieldsHigh correlation
sc is highly overall correlated with buHigh correlation
hemo is highly overall correlated with bu and 2 other fieldsHigh correlation
pcv is highly overall correlated with hemo and 1 other fieldsHigh correlation
rbcc is highly overall correlated with hemo and 1 other fieldsHigh correlation
al has 54 (21.6%) zerosZeros
su has 145 (58.0%) zerosZeros

Reproduction

Analysis started2024-07-08 08:06:25.666282
Analysis finished2024-07-08 08:06:44.384949
Duration18.72 seconds
Software versionydata-profiling vv4.3.1
Download configurationconfig.json

Variables

age
Real number (ℝ)

Distinct70
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.443468
Minimum2
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-07-08T16:06:44.718465image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile14.45
Q148
median59
Q365
95-th percentile75
Maximum90
Range88
Interquartile range (IQR)17

Descriptive statistics

Standard deviation17.115776
Coefficient of variation (CV)0.31437704
Kurtosis1.3570694
Mean54.443468
Median Absolute Deviation (MAD)9
Skewness-1.1704609
Sum13610.867
Variance292.9498
MonotonicityNot monotonic
2024-07-08T16:06:44.851454image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 15
 
6.0%
65 15
 
6.0%
48 9
 
3.6%
54 9
 
3.6%
50 9
 
3.6%
62 8
 
3.2%
59 8
 
3.2%
51.483376 8
 
3.2%
61 7
 
2.8%
45 7
 
2.8%
Other values (60) 155
62.0%
ValueCountFrequency (%)
2 1
 
0.4%
3 1
 
0.4%
4 1
 
0.4%
5 2
0.8%
6 1
 
0.4%
7 1
 
0.4%
8 3
1.2%
11 1
 
0.4%
12 1
 
0.4%
14 1
 
0.4%
ValueCountFrequency (%)
90 1
 
0.4%
83 1
 
0.4%
82 1
 
0.4%
81 1
 
0.4%
80 2
 
0.8%
78 1
 
0.4%
76 5
2.0%
75 3
1.2%
74 2
 
0.8%
73 6
2.4%

bp
Real number (ℝ)

Distinct11
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.498763
Minimum50
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-07-08T16:06:44.943015image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile60
Q170
median80
Q390
95-th percentile100
Maximum180
Range130
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.937872
Coefficient of variation (CV)0.18790069
Kurtosis8.0281742
Mean79.498763
Median Absolute Deviation (MAD)10
Skewness1.5548208
Sum19874.691
Variance223.14002
MonotonicityNot monotonic
2024-07-08T16:06:45.040607image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
70 74
29.6%
90 53
21.2%
80 51
20.4%
60 26
 
10.4%
100 25
 
10.0%
76.46907 10
 
4.0%
50 5
 
2.0%
110 3
 
1.2%
140 1
 
0.4%
180 1
 
0.4%
ValueCountFrequency (%)
50 5
 
2.0%
60 26
 
10.4%
70 74
29.6%
76.46907 10
 
4.0%
80 51
20.4%
90 53
21.2%
100 25
 
10.0%
110 3
 
1.2%
120 1
 
0.4%
140 1
 
0.4%
ValueCountFrequency (%)
180 1
 
0.4%
140 1
 
0.4%
120 1
 
0.4%
110 3
 
1.2%
100 25
 
10.0%
90 53
21.2%
80 51
20.4%
76.46907 10
 
4.0%
70 74
29.6%
60 26
 
10.4%

sg
Real number (ℝ)

Distinct6
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0145045
Minimum1.005
Maximum1.025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-07-08T16:06:45.129181image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.005
5-th percentile1.01
Q11.01
median1.015
Q31.0174079
95-th percentile1.02
Maximum1.025
Range0.02
Interquartile range (IQR)0.0074079

Descriptive statistics

Standard deviation0.004416627
Coefficient of variation (CV)0.0043534818
Kurtosis-0.2638112
Mean1.0145045
Median Absolute Deviation (MAD)0.005
Skewness0.24489547
Sum253.62613
Variance1.9506594 × 10-5
MonotonicityNot monotonic
2024-07-08T16:06:45.219537image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1.01 84
33.6%
1.015 75
30.0%
1.0174079 42
16.8%
1.02 31
 
12.4%
1.025 11
 
4.4%
1.005 7
 
2.8%
ValueCountFrequency (%)
1.005 7
 
2.8%
1.01 84
33.6%
1.015 75
30.0%
1.0174079 42
16.8%
1.02 31
 
12.4%
1.025 11
 
4.4%
ValueCountFrequency (%)
1.025 11
 
4.4%
1.02 31
 
12.4%
1.0174079 42
16.8%
1.015 75
30.0%
1.01 84
33.6%
1.005 7
 
2.8%

al
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6067797
Minimum0
Maximum5
Zeros54
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-07-08T16:06:45.315204image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1.0169492
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2815753
Coefficient of variation (CV)0.79760489
Kurtosis-0.81938494
Mean1.6067797
Median Absolute Deviation (MAD)0.9830508
Skewness0.47062543
Sum401.69492
Variance1.6424353
MonotonicityNot monotonic
2024-07-08T16:06:45.404823image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 54
21.6%
1 44
17.6%
2 43
17.2%
3 43
17.2%
1.0169492 41
16.4%
4 24
9.6%
5 1
 
0.4%
ValueCountFrequency (%)
0 54
21.6%
1 44
17.6%
1.0169492 41
16.4%
2 43
17.2%
3 43
17.2%
4 24
9.6%
5 1
 
0.4%
ValueCountFrequency (%)
5 1
 
0.4%
4 24
9.6%
3 43
17.2%
2 43
17.2%
1.0169492 41
16.4%
1 44
17.6%
0 54
21.6%

su
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.71122507
Minimum0
Maximum5
Zeros145
Zeros (%)58.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-07-08T16:06:45.492444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.45014244
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0.45014244

Descriptive statistics

Standard deviation1.2295808
Coefficient of variation (CV)1.7288209
Kurtosis2.3757468
Mean0.71122507
Median Absolute Deviation (MAD)0
Skewness1.8573098
Sum177.80627
Variance1.5118689
MonotonicityNot monotonic
2024-07-08T16:06:45.580961image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 145
58.0%
0.45014244 44
 
17.6%
2 18
 
7.2%
3 14
 
5.6%
4 13
 
5.2%
1 13
 
5.2%
5 3
 
1.2%
ValueCountFrequency (%)
0 145
58.0%
0.45014244 44
 
17.6%
1 13
 
5.2%
2 18
 
7.2%
3 14
 
5.6%
4 13
 
5.2%
5 3
 
1.2%
ValueCountFrequency (%)
5 3
 
1.2%
4 13
 
5.2%
3 14
 
5.6%
2 18
 
7.2%
1 13
 
5.2%
0.45014244 44
 
17.6%
0 145
58.0%

bgr
Real number (ℝ)

Distinct136
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.25755
Minimum22
Maximum490
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-07-08T16:06:45.719129image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile84.9
Q1111.25
median148.03651
Q3210
95-th percentile356.4
Maximum490
Range468
Interquartile range (IQR)98.75

Descriptive statistics

Standard deviation85.335639
Coefficient of variation (CV)0.49828833
Kurtosis2.4617847
Mean171.25755
Median Absolute Deviation (MAD)42.53651
Skewness1.5621174
Sum42814.387
Variance7282.1713
MonotonicityNot monotonic
2024-07-08T16:06:45.917153image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148.03651 38
 
15.2%
93 5
 
2.0%
92 4
 
1.6%
99 4
 
1.6%
107 4
 
1.6%
103 3
 
1.2%
214 3
 
1.2%
172 3
 
1.2%
104 3
 
1.2%
76 3
 
1.2%
Other values (126) 180
72.0%
ValueCountFrequency (%)
22 1
 
0.4%
70 2
0.8%
74 2
0.8%
76 3
1.2%
78 2
0.8%
79 1
 
0.4%
80 1
 
0.4%
84 1
 
0.4%
86 1
 
0.4%
88 1
 
0.4%
ValueCountFrequency (%)
490 2
0.8%
463 1
0.4%
447 1
0.4%
425 1
0.4%
424 2
0.8%
423 1
0.4%
415 1
0.4%
410 1
0.4%
380 1
0.4%
360 2
0.8%

bu
Real number (ℝ)

HIGH CORRELATION 

Distinct118
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.610937
Minimum1.5
Maximum391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-07-08T16:06:46.205857image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile18.45
Q132
median55
Q389.75
95-th percentile183.3
Maximum391
Range389.5
Interquartile range (IQR)57.75

Descriptive statistics

Standard deviation57.134411
Coefficient of variation (CV)0.79784476
Kurtosis6.0373674
Mean71.610937
Median Absolute Deviation (MAD)25.5
Skewness2.0951284
Sum17902.734
Variance3264.341
MonotonicityNot monotonic
2024-07-08T16:06:46.450128image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.42572 13
 
5.2%
19 6
 
2.4%
40 6
 
2.4%
46 5
 
2.0%
53 5
 
2.0%
66 5
 
2.0%
32 5
 
2.0%
20 5
 
2.0%
55 5
 
2.0%
28 5
 
2.0%
Other values (108) 190
76.0%
ValueCountFrequency (%)
1.5 1
 
0.4%
15 4
1.6%
16 3
1.2%
17 2
 
0.8%
18 3
1.2%
19 6
2.4%
20 5
2.0%
21 1
 
0.4%
22 2
 
0.8%
23 3
1.2%
ValueCountFrequency (%)
391 1
0.4%
322 1
0.4%
309 1
0.4%
241 1
0.4%
235 1
0.4%
223 1
0.4%
219 1
0.4%
217 1
0.4%
215 1
0.4%
208 1
0.4%

sc
Real number (ℝ)

HIGH CORRELATION 

Distinct84
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3504778
Minimum0.5
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-07-08T16:06:46.732133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile0.8
Q11.5
median2.45
Q34.25
95-th percentile13.455
Maximum76
Range75.5
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation6.7868252
Coefficient of variation (CV)1.5600183
Kurtosis57.028713
Mean4.3504778
Median Absolute Deviation (MAD)1.15
Skewness6.4379674
Sum1087.6195
Variance46.060996
MonotonicityNot monotonic
2024-07-08T16:06:46.857663image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0724542 12
 
4.8%
1.2 10
 
4.0%
2.2 10
 
4.0%
1 9
 
3.6%
1.5 9
 
3.6%
1.7 9
 
3.6%
1.3 8
 
3.2%
1.6 8
 
3.2%
1.4 7
 
2.8%
2.5 7
 
2.8%
Other values (74) 161
64.4%
ValueCountFrequency (%)
0.5 1
 
0.4%
0.6 3
 
1.2%
0.7 4
 
1.6%
0.8 6
2.4%
0.9 6
2.4%
1 9
3.6%
1.1 6
2.4%
1.2 10
4.0%
1.3 8
3.2%
1.4 7
2.8%
ValueCountFrequency (%)
76 1
0.4%
48.1 1
0.4%
32 1
0.4%
24 1
0.4%
18.1 1
0.4%
18 1
0.4%
16.9 1
0.4%
16.4 1
0.4%
15.2 1
0.4%
15 1
0.4%

sod
Real number (ℝ)

Distinct33
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.09143
Minimum4.5
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-07-08T16:06:46.995180image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.5
5-th percentile124
Q1134
median137.52875
Q3137.52875
95-th percentile142
Maximum163
Range158.5
Interquartile range (IQR)3.52875

Descriptive statistics

Standard deviation10.299631
Coefficient of variation (CV)0.076241925
Kurtosis104.49287
Mean135.09143
Median Absolute Deviation (MAD)1.52875
Skewness-8.5418153
Sum33772.857
Variance106.08239
MonotonicityNot monotonic
2024-07-08T16:06:47.110640image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
137.52875 82
32.8%
135 16
 
6.4%
138 14
 
5.6%
136 14
 
5.6%
137 12
 
4.8%
140 12
 
4.8%
141 11
 
4.4%
139 10
 
4.0%
132 10
 
4.0%
131 9
 
3.6%
Other values (23) 60
24.0%
ValueCountFrequency (%)
4.5 1
 
0.4%
104 1
 
0.4%
111 1
 
0.4%
113 2
0.8%
114 2
0.8%
115 1
 
0.4%
120 2
0.8%
122 2
0.8%
124 3
1.2%
125 2
0.8%
ValueCountFrequency (%)
163 1
 
0.4%
147 1
 
0.4%
146 2
 
0.8%
145 2
 
0.8%
143 1
 
0.4%
142 8
3.2%
141 11
4.4%
140 12
4.8%
139 10
4.0%
138 14
5.6%

pot
Real number (ℝ)

Distinct41
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7950448
Minimum2.5
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-07-08T16:06:47.239966image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile3.345
Q14.1
median4.6272435
Q34.6272435
95-th percentile5.8
Maximum47
Range44.5
Interquartile range (IQR)0.5272435

Descriptive statistics

Standard deviation3.5305215
Coefficient of variation (CV)0.7362854
Kurtosis117.23616
Mean4.7950448
Median Absolute Deviation (MAD)0.3272435
Skewness10.589433
Sum1198.7612
Variance12.464582
MonotonicityNot monotonic
2024-07-08T16:06:47.334876image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4.6272435 83
33.2%
4 11
 
4.4%
4.2 11
 
4.4%
4.9 10
 
4.0%
3.8 10
 
4.0%
4.4 9
 
3.6%
4.3 9
 
3.6%
4.1 9
 
3.6%
4.7 7
 
2.8%
3.7 6
 
2.4%
Other values (31) 85
34.0%
ValueCountFrequency (%)
2.5 2
 
0.8%
2.7 1
 
0.4%
2.8 1
 
0.4%
2.9 3
1.2%
3 2
 
0.8%
3.2 3
1.2%
3.3 1
 
0.4%
3.4 5
2.0%
3.5 6
2.4%
3.6 2
 
0.8%
ValueCountFrequency (%)
47 1
 
0.4%
39 1
 
0.4%
7.6 1
 
0.4%
6.6 1
 
0.4%
6.5 2
0.8%
6.4 1
 
0.4%
6.3 3
1.2%
5.9 2
0.8%
5.8 2
0.8%
5.7 4
1.6%

hemo
Real number (ℝ)

HIGH CORRELATION 

Distinct84
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.993264
Minimum3.1
Maximum16.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-07-08T16:06:47.447592image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile7.19
Q19.8
median11.3
Q312.526437
95-th percentile13.855
Maximum16.1
Range13
Interquartile range (IQR)2.726437

Descriptive statistics

Standard deviation2.1040973
Coefficient of variation (CV)0.19139877
Kurtosis0.69580201
Mean10.993264
Median Absolute Deviation (MAD)1.226437
Skewness-0.66427027
Sum2748.3161
Variance4.4272254
MonotonicityNot monotonic
2024-07-08T16:06:47.574415image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.526437 46
 
18.4%
10.9 8
 
3.2%
11.1 7
 
2.8%
9.8 7
 
2.8%
12 6
 
2.4%
11.3 6
 
2.4%
10.3 6
 
2.4%
12.6 5
 
2.0%
9.7 5
 
2.0%
10 5
 
2.0%
Other values (74) 149
59.6%
ValueCountFrequency (%)
3.1 1
0.4%
4.8 1
0.4%
5.5 1
0.4%
5.6 1
0.4%
5.8 1
0.4%
6 2
0.8%
6.1 1
0.4%
6.2 1
0.4%
6.3 1
0.4%
6.6 1
0.4%
ValueCountFrequency (%)
16.1 1
 
0.4%
15.6 1
 
0.4%
15.4 1
 
0.4%
15.2 1
 
0.4%
15 4
1.6%
14.3 2
0.8%
14.1 1
 
0.4%
14 1
 
0.4%
13.9 1
 
0.4%
13.8 1
 
0.4%

pcv
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.533046
Minimum9
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-07-08T16:06:47.694719image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile22.45
Q130
median36
Q338.8845
95-th percentile43
Maximum52
Range43
Interquartile range (IQR)8.8845

Descriptive statistics

Standard deviation6.7041539
Coefficient of variation (CV)0.19413735
Kurtosis1.0404918
Mean34.533046
Median Absolute Deviation (MAD)3
Skewness-0.71892093
Sum8633.2615
Variance44.94568
MonotonicityNot monotonic
2024-07-08T16:06:47.843886image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
38.8845 67
26.8%
28 12
 
4.8%
32 12
 
4.8%
36 12
 
4.8%
33 12
 
4.8%
34 11
 
4.4%
37 11
 
4.4%
30 9
 
3.6%
29 9
 
3.6%
35 9
 
3.6%
Other values (28) 86
34.4%
ValueCountFrequency (%)
9 1
 
0.4%
14 1
 
0.4%
15 1
 
0.4%
16 1
 
0.4%
17 1
 
0.4%
18 1
 
0.4%
19 2
0.8%
20 1
 
0.4%
21 1
 
0.4%
22 3
1.2%
ValueCountFrequency (%)
52 3
 
1.2%
48 1
 
0.4%
47 1
 
0.4%
46 1
 
0.4%
45 1
 
0.4%
44 5
2.0%
43 2
 
0.8%
42 4
1.6%
41 6
2.4%
40 8
3.2%

wbcc
Real number (ℝ)

Distinct82
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8806.8243
Minimum2200
Maximum26400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-07-08T16:06:48.069170image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2200
5-th percentile4945
Q17900
median8406.122
Q39575
95-th percentile13420
Maximum26400
Range24200
Interquartile range (IQR)1675

Descriptive statistics

Standard deviation2797.9749
Coefficient of variation (CV)0.31770531
Kurtosis8.6809843
Mean8806.8243
Median Absolute Deviation (MAD)793.878
Skewness1.9745987
Sum2201706.1
Variance7828663.5
MonotonicityNot monotonic
2024-07-08T16:06:48.371804image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8406.122 99
39.6%
9800 9
 
3.6%
6900 6
 
2.4%
9600 6
 
2.4%
9200 5
 
2.0%
10200 4
 
1.6%
5000 3
 
1.2%
5800 3
 
1.2%
7000 3
 
1.2%
7900 3
 
1.2%
Other values (72) 109
43.6%
ValueCountFrequency (%)
2200 1
 
0.4%
2600 1
 
0.4%
3800 2
0.8%
4100 1
 
0.4%
4200 3
1.2%
4300 2
0.8%
4500 1
 
0.4%
4700 1
 
0.4%
4900 1
 
0.4%
5000 3
1.2%
ValueCountFrequency (%)
26400 1
0.4%
21600 1
0.4%
19100 1
0.4%
18900 1
0.4%
16700 1
0.4%
16300 1
0.4%
15700 1
0.4%
15200 2
0.8%
14900 1
0.4%
14600 2
0.8%

rbcc
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3232878
Minimum2.1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-07-08T16:06:48.631859image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.1
5-th percentile2.9
Q13.9
median4.707435
Q34.707435
95-th percentile4.955
Maximum8
Range5.9
Interquartile range (IQR)0.807435

Descriptive statistics

Standard deviation0.72227559
Coefficient of variation (CV)0.16706628
Kurtosis3.0016
Mean4.3232878
Median Absolute Deviation (MAD)0.007435
Skewness-0.43454996
Sum1080.8219
Variance0.52168203
MonotonicityNot monotonic
2024-07-08T16:06:48.859631image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4.707435 124
49.6%
3.9 10
 
4.0%
3.4 9
 
3.6%
3.7 8
 
3.2%
3.8 7
 
2.8%
4.2 6
 
2.4%
4.3 6
 
2.4%
4.6 6
 
2.4%
4 6
 
2.4%
4.1 5
 
2.0%
Other values (26) 63
25.2%
ValueCountFrequency (%)
2.1 2
0.8%
2.3 1
 
0.4%
2.4 1
 
0.4%
2.5 2
0.8%
2.6 2
0.8%
2.7 2
0.8%
2.8 2
0.8%
2.9 2
0.8%
3 3
1.2%
3.1 2
0.8%
ValueCountFrequency (%)
8 1
 
0.4%
6.1 1
 
0.4%
6 1
 
0.4%
5.6 1
 
0.4%
5.4 1
 
0.4%
5.2 5
 
2.0%
5 3
 
1.2%
4.9 3
 
1.2%
4.8 2
 
0.8%
4.707435 124
49.6%

Interactions

2024-07-08T16:06:42.704648image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:25.834175image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:27.060619image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:28.423294image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:29.740476image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:30.887687image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:32.210668image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:33.505119image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:34.873133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:36.306468image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:37.599597image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:38.960386image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:40.231356image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:41.478233image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:42.798438image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:25.913509image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:27.140918image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:28.509620image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:29.811474image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:30.976243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:32.292394image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:33.597655image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:34.960817image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:36.392971image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:37.680149image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:39.043582image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:40.313870image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:41.555754image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:43.022408image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:26.006538image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:27.223120image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:28.615804image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:29.891994image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:31.061536image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:32.376815image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:33.689209image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:35.060925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:36.481632image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:37.767700image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:39.138537image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:40.401386image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:41.646379image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:43.131645image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:26.114412image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:27.318133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:28.740239image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:29.987126image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:31.161259image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:32.475275image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:33.793812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:35.302974image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:36.580445image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:37.860247image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:39.243863image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:40.495145image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:41.753680image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:43.213705image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:26.205928image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:27.405980image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:28.842307image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:30.062937image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:31.246734image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:32.559183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:33.877224image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:35.400558image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:36.666699image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:37.946745image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:39.335021image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:40.579396image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:41.831631image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:43.295228image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:26.297084image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:27.500361image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:28.934261image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:30.136649image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:31.325667image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:32.640703image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:33.981126image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:35.501085image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:36.761221image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:38.023744image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:39.414534image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:40.664827image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:41.910454image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:43.382744image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:26.390043image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:27.593429image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:29.020270image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:30.220095image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:31.405107image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:32.728468image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:34.074152image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:35.585629image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:36.858738image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:38.107303image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:39.500883image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:40.747426image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:41.989001image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:43.474286image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:26.482866image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:27.698199image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:29.122795image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:30.308925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:31.610387image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:32.828263image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:34.198587image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:35.683174image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:36.955782image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:38.192836image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:39.591206image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:40.838399image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:42.085201image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:43.568501image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:26.565415image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:27.796913image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:29.216309image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:30.392398image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:31.706472image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:32.961883image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:34.308163image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:35.774724image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:37.045319image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:38.276363image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:39.687684image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:40.935920image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:42.170729image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:43.667578image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:26.655946image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:27.883794image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:29.314444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:30.485445image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:31.802975image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:33.066714image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:34.423211image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:35.869279image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:37.136926image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:38.376910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:39.784219image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:41.042947image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:42.260677image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:43.746096image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:26.727839image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:28.063307image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:29.390513image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:30.552707image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:31.876172image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:33.151363image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:34.511410image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:35.952815image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:37.220446image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:38.464432image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:39.871739image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:41.134963image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:42.338989image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:43.827101image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:26.816355image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:28.159235image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:29.482076image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:30.640261image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:31.969230image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:33.248003image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:34.601898image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:36.048381image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:37.318003image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:38.579959image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:39.966302image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:41.231599image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:42.427712image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:43.912640image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:26.895871image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:28.247257image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:29.565572image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:30.712923image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:32.049829image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:33.333004image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:34.687188image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:36.131384image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:37.404530image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:38.668006image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:40.048823image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:41.309144image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:42.517010image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:43.993682image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:26.974271image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:28.329533image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:29.655957image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:30.788990image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:32.126894image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:33.414530image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:34.779971image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:36.219914image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:37.498071image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:38.747530image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:40.137828image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:41.390708image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-07-08T16:06:42.606532image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2024-07-08T16:06:49.107678image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
agebpsgalsubgrbuscsodpothemopcvwbccrbcc
age1.0000.059-0.0030.0010.2450.1550.1600.155-0.0300.150-0.004-0.0680.082-0.092
bp0.0591.0000.001-0.0030.1130.0790.1320.1580.0750.106-0.117-0.092-0.030-0.087
sg-0.0030.0011.000-0.0190.043-0.108-0.027-0.0430.0980.0560.0500.136-0.1390.148
al0.001-0.003-0.0191.0000.1270.0980.3220.273-0.2790.103-0.290-0.2110.052-0.197
su0.2450.1130.0430.1271.0000.4990.1260.157-0.0180.0410.0080.0190.146-0.003
bgr0.1550.079-0.1080.0980.4991.0000.0050.006-0.0760.0150.0190.0410.0920.028
bu0.1600.132-0.0270.3220.1260.0051.0000.823-0.3240.243-0.516-0.462-0.003-0.374
sc0.1550.158-0.0430.2730.1570.0060.8231.000-0.2660.197-0.423-0.390-0.024-0.342
sod-0.0300.0750.098-0.279-0.018-0.076-0.324-0.2661.000-0.0040.2290.241-0.0000.186
pot0.1500.1060.0560.1030.0410.0150.2430.197-0.0041.000-0.131-0.117-0.162-0.032
hemo-0.004-0.1170.050-0.2900.0080.019-0.516-0.4230.229-0.1311.0000.8290.0850.523
pcv-0.068-0.0920.136-0.2110.0190.041-0.462-0.3900.241-0.1170.8291.000-0.0120.608
wbcc0.082-0.030-0.1390.0520.1460.092-0.003-0.024-0.000-0.1620.085-0.0121.000-0.032
rbcc-0.092-0.0870.148-0.197-0.0030.028-0.374-0.3420.186-0.0320.5230.608-0.0321.000

Missing values

2024-07-08T16:06:44.130199image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-07-08T16:06:44.301421image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

agebpsgalsubgrbuscsodpothemopcvwbccrbcc
048.080.000001.0201.00.0121.0000036.01.2137.528754.62724315.444.07800.0005.200000
17.050.000001.0204.00.0148.0365118.00.8137.528754.62724311.338.06000.0004.707435
262.080.000001.0102.03.0423.0000053.01.8137.528754.6272439.631.07500.0004.707435
348.070.000001.0054.00.0117.0000056.03.8111.000002.50000011.232.06700.0003.900000
451.080.000001.0102.00.0106.0000026.01.4137.528754.62724311.635.07300.0004.600000
560.090.000001.0153.00.074.0000025.01.1142.000003.20000012.239.07800.0004.400000
668.070.000001.0100.00.0100.0000054.024.0104.000004.00000012.436.08406.1224.707435
724.076.469071.0152.04.0410.0000031.01.1137.528754.62724312.444.06900.0005.000000
852.0100.000001.0153.00.0138.0000060.01.9137.528754.62724310.833.09600.0004.000000
953.090.000001.0202.00.070.00000107.07.2114.000003.7000009.529.012100.0003.700000
agebpsgalsubgrbuscsodpothemopcvwbccrbcc
24065.070.01.0150001.0000000.000000203.046.01.4137.528754.62724311.40000036.00005000.0004.100000
24157.070.01.0150001.0000000.000000165.045.01.5140.000003.30000010.40000031.00004200.0003.900000
24269.070.01.0100004.0000003.000000214.096.06.3120.000003.9000009.40000028.000011500.0003.300000
24362.090.01.0200002.0000001.000000169.048.02.4138.000002.90000013.40000047.000011000.0006.100000
24464.090.01.0150003.0000002.000000463.064.02.8135.000004.10000012.20000040.00009800.0004.600000
24548.0100.01.0174081.0169490.450142103.079.05.3135.000006.3000006.30000019.00007200.0002.600000
24648.0110.01.0150003.0000000.000000106.0215.015.2120.000005.7000008.60000026.00005000.0002.500000
24754.090.01.0250001.0000000.000000150.018.01.2140.000004.20000012.52643738.88458406.1224.707435
24859.070.01.0100001.0000003.000000424.055.01.7138.000004.50000012.60000037.000010200.0004.100000
24956.090.01.0100004.0000001.000000176.0309.013.3124.000006.5000003.1000009.00005400.0002.100000